Some significant consumer-facing platforms, including LinkedIn, Amazon, and Netflix, run large parts of their data architecture on graph databases. However, studies have revealed that only about 2% to 3% of current data processing workloads run on graph databases today. So why are those crucial? How do those help CIOs solve complex problems in an era of ever-growing data? In this article at InformationWeek, Jessica Davis explains everything CIOs need to know about the graph database.
What Is a Graph Database?
A graph database is a database designed to treat the relationships between data. Further, it holds data without constricting to a predefined model. The graph database creates a ‘graph’ of relationships. When a query is required to be run against the data, it pulls out the results far more efficiently than a relational or non-relational database.
How Does It Benefit CIOs?
“In cybersecurity, AI and ML can help predict who will launch what cyberattack before it happens,” says Davis. Adding graphs onto AI and ML stacks will help CIOs determine which systems are the most vulnerable and need immediate attention.
Furthermore, in customer retention applications, AI and ML predict which customers are likely to churn. A graph database allows CIOs to understand the best way to retain customers and improve customer experience.
Additionally, from a business point of view, graph databases have much more to offer. For instance, these enable CIOs to efficiently handle geographical data and deal with complex queries. These characteristics are beneficial for CIOs working in retail environments.
Ways to Build Expertise
CIOs must start small with this cutting-edge technology while building the culture and processes for using graphs. Implementation of graphs starts with composing a proof of concept, initiating a pilot, and then rolling out a live use case into production. Additionally, teams must work on cleaning the data used in the pilot prototype.
To read the original article, click on https://beta.informationweek.com/big-data-analytics/what-cios-need-to-know-about-graph-database-technology.